Evidence map›Paper›PMID 34386789›Full record

ArticleLancet regional health. Americas2021

Estimating under-recognized COVID-19 deaths, United States, march 2020-may 2021 using an excess mortality modelling approach.

A Danielle Iuliano, Howard H Chang, Neha N Patel, Ryan Threlkel, Krista Kniss, Jeremy Reich, Molly Steele, Aron J Hall, Alicia M Fry, Carrie Reed

Abstract read
In one paragraph

Article in Lancet regional health. Americas, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

47 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  7. A Bayesian spatial-temporal varying coefficients model for estimating excess deaths associated with respiratory infections.Journal of the Royal Statistical Society. Series A, (Statistics in Society) · 2025
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  16. Excess natural-cause mortality in US counties and its association with reported COVID-19 deaths.Proceedings of the National Academy of Sciences of the United States of America · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

A Danielle IulianoCOVID-19 Emergency Response, Centers for Disease Control and Prevention, United States.
Howard H ChangDepartment of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, GA, United States.
Neha N PatelCOVID-19 Emergency Response, Centers for Disease Control and Prevention, United States.
Ryan ThrelkelCOVID-19 Emergency Response, Centers for Disease Control and Prevention, United States.
Krista KnissCOVID-19 Emergency Response, Centers for Disease Control and Prevention, United States.
Jeremy ReichCOVID-19 Emergency Response, Centers for Disease Control and Prevention, United States.
Molly SteeleCOVID-19 Emergency Response, Centers for Disease Control and Prevention, United States.
Aron J HallCOVID-19 Emergency Response, Centers for Disease Control and Prevention, United States.
Alicia M FryCOVID-19 Emergency Response, Centers for Disease Control and Prevention, United States.
Carrie ReedCOVID-19 Emergency Response, Centers for Disease Control and Prevention, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn the United States, Coronavirus Disease 2019 (COVID-19) deaths are captured through the National Notifiable Disease Surveillance System and death certificates reported to the National Vital Statistics System (NVSS). However, not all COVID-19 deaths are recognized and reported because of limitations in testing, exacerbation of chronic health conditions that are listed as the cause of death, or delays in reporting. Estimating deaths may provide a more comprehensive understanding of total COVID-19-attributable deaths.

methodsWe estimated COVID-19 unrecognized attributable deaths, from March 2020-April 2021, using all-cause deaths reported to NVSS by week and six age groups (0-17, 18-49, 50-64, 65-74, 75-84, and ≥85 years) for 50 states, New York City, and the District of Columbia using a linear time series regression model. Reported COVID-19 deaths were subtracted from all-cause deaths before applying the model. Weekly expected deaths, assuming no SARS-CoV-2 circulation and predicted all-cause deaths using SARS-CoV-2 weekly percent positive as a covariate were modelled by age group and including state as a random intercept. COVID-19-attributable unrecognized deaths were calculated for each state and age group by subtracting the expected all-cause deaths from the predicted deaths.

findingsWe estimated that 766,611 deaths attributable to COVID-19 occurred in the United States from March 8, 2020-May 29, 2021. Of these, 184,477 (24%) deaths were not documented on death certificates. Eighty-two percent of unrecognized deaths were among persons aged ≥65 years; the proportion of unrecognized deaths were 0•24-0•31 times lower among those 0-17 years relative to all other age groups. More COVID-19-attributable deaths were not captured during the early months of the pandemic (March-May 2020) and during increases in SARS-CoV-2 activity (July 2020, November 2020-February 2021).

interpretationEstimating COVID-19-attributable unrecognized deaths provides a better understanding of the COVID-19 mortality burden and may better quantify the severity of the COVID-19 pandemic.

fundingNone.

Indexed as

COVID-19Excess mortalityMortalitySARS-CoV-2Unrecognized deaths

Identifiers

PMID34386789
PMCPMC8275579

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LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.